
Foundational Models Research Scientist
1 day ago
Job Title: Multimodal Foundation Model Research Scientist
This role involves leading-edge research and development of multimodal foundation models.
- Conduct research in computer vision, deep learning, and AI to address challenges in deep learning, computer vision, AIGC, graphics, large multimodality models, diffusion models, video generation, 3D generation, video understanding, self-supervised learning, and autoregressive models.
- Explore the application of largescale/superlargescale visual foundation models, and contribute to the development of new technologies and products leveraging artificial intelligence.
Required Skills and Qualifications:
- Hold a Ph.D. degree in computer science, electrical engineering, statistics, applied mathematics, data science or related disciplines.
- Possess research and practical experience in one or more areas of computer vision, encompassing multimodal generation (e.g., text-to-image, image, video, 3D generation and editing), diffusion models, GANs, transformers for generation tasks, vision-language models, largescale training and RLHF.
- Proven track record of high-impact research.
- Collaborate effectively with team members.
- Ability to work independently.
Benefits:
Our platform connects people from across the globe and so does our workplace.
Others:
We foster a feedback-driven environment to continuously enhance our foundation technologies.
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